This paper introduces a novel annotation framework for the fine-grained modeling of Noun Phrases' (NPs) genericity in natural language. The framework is designed to be simple and intuitive, making it accessible to non-expert annotators and suitable for crowd-sourced tasks. Drawing from theoretical and cognitive literature on genericity, this framework is grounded in established linguistic theory. Through a pilot study, we created a small but crucial annotated dataset of 324 sentences, serving as a foundation for future research. To validate our approach, we conducted an evaluation comparing our continuous annotations with existing binary annotations on the same dataset, demonstrating the framework's effectiveness in capturing nuanced aspects of genericity. Our work offers a practical resource for linguists, providing a first annotated dataset and an annotation scheme designed to build real-language datasets that can be used in studies on the semantics of genericity, and NLP practitioners, contributing to the development of commonsense knowledge repositories valuable in enhancing various NLP applications.

The rise of advanced technology in project management (PM) highlights a crucial need for inclusiveness. This work examines the enhancement of both inclusivity and efficiency in PM through technological integration, focusing on defining and measuring inclusiveness. This approach illuminates how inclusivity-centered technology can significantly elevate project outcomes. The research navigates through the challenges of achieving inclusivity, mainly biases in learning databases and the design process of these technologies, assessment of transformative potential of these technologies, particularly in automating tasks like data collection and analysis, thus enabling managers to prioritize human-centric aspects of projects. However, the integration of such technology transcends efficiency, indicating a paradigm shift in understanding their societal roles. This shift necessitates a new approach in the development of these systems to prevent perpetuating social inequalities. We proposed a methodology involving criteria development for evaluating the inclusiveness and effectiveness of these technologies. This methodical approach is vital to comprehensively address the challenges and limitations inherent in these systems. Emphasizing the importance of inclusivity, the study advocates for a balance between technological advancement and ethical considerations, calling for a holistic understanding and regulation. In conclusion, the paper underscores that while these technologies can significantly improve outcomes, their mindful integration, ensuring inclusivity, is paramount. This exploration into the ethical and practical aspects of technology in PM contributes to a more informed and balanced approach within the field.

Text-to-image generative models often reflect the biases of the training data, leading to unequal representations of underrepresented groups. This study investigates inclusive text-to-image generative models that generate images based on human-written prompts and ensure the resulting images are uniformly distributed across attributes of interest. Unfortunately, directly expressing the desired attributes in the prompt often leads to sub-optimal results due to linguistic ambiguity or model misrepresentation. Hence, this paper proposes a drastically different approach that adheres to the maxim that "a picture is worth a thousand words". We show that, for some attributes, images can represent concepts more expressively than text. For instance, categories of skin tones are typically hard to specify by text but can be easily represented by example images. Building upon these insights, we propose a novel approach, ITI-GEN, that leverages readily available reference images for Inclusive Text-to-Image GENeration. The key idea is learning a set of prompt embeddings to generate images that can effectively represent all desired attribute categories. More importantly, ITI-GEN requires no model fine-tuning, making it computationally efficient to augment existing text-to-image models. Extensive experiments demonstrate that ITI-GEN largely improves over state-of-the-art models to generate inclusive images from a prompt. Project page: https://czhang0528.github.io/iti-gen.

The effects of AI on society are not just limited to the workplace. Recently, there has been a lot of talk about how AI will affect our social interactions and how we create and experience social spaces. AI-driven architecture for social spaces presents us with new opportunities as well as challenges. In his work, Babar Kasam Cazir explores the implications of how artificial intelligence could change socioeconomic dynamics - specifically in event spaces - through its ability to analyze patterns at scale. Cazir is a prominent Moorish American architect who has spent many years working in and around the entertainment and hospitality industry as the founder of AV hospitality, a casting associate at Sony Pictures, a brand ambassador at Armand de Brignac, and an event organizer.

What follows is a thought experiment that, I believe, is a reality we all are going to face pretty soon. Upon some consideration, I believe these ethical principles include absolute non-violence even with respect to acts of micro-violence or what I would call meekness. Below, I will expand upon what I am contending is a necessary ethical framework that will need to be coded into the AI mind if humanity is to protect ourselves from the powers of our own creation. Recent discussions about sentience is a distraction from what is at issue. Could we write a software that can gather data and learn?

We all agree that artificial intelligence (AI) has the power to drive development and even out global inequalities. Because it can process vast amounts of data rapidly, AI is ensuring more and more people in developing countries have access to microfinance, healthcare and remote-learning opportunities. AI helps make climate change mitigation more efficient, and can help deliver housing at a quarter of the usual costs when combined with 3D printing technology. It is easy to see how it could be a game-changer in the rapidly urbanising developing world. But AI's potential to help us achieve the Sustainable Development Goals, and to reduce global poverty is far from being realised.

We all agree that artificial intelligence (AI) has the power to drive development and even out global inequalities. Because it can process vast amounts of data rapidly, AI is ensuring more and more people in developing countries have access to microfinance, healthcare and remote-learning opportunities. AI helps make climate change mitigation more efficient, and can help deliver housing at a quarter of the usual costs when combined with 3D printing technology. It is easy to see how it could be a game-changer in the rapidly urbanising developing world. But AI's potential to help us achieve the Sustainable Development Goals, and to reduce global poverty is far from being realised.

Across industries, businesses are now tech and data companies. The sooner they grasp and live that, the quicker they will meet their customer needs and expectations, create more business value and grow. It is increasingly important to reimagine business and use digital technologies to create new business processes, cultures, customer experiences and opportunities. One of the myths about digital transformation is that it's all about harnessing technology. To succeed, digital transformation inherently requires and relies on diversity.

At LinkedIn, our guiding principle is "Members First." It ensures we honor our responsibility to protect our members and maintain their trust in every decision we make, and puts their interests first. A key area where we apply this value in engineering is within our design process. We call this "responsible design," which means that everything we build is intended to work as part of a unified system that delivers the best member experience, provides the right protections for our members and customers, and mitigates any unintended consequences in our products. One of the core pillars of "responsible design" is "responsible AI," which follows Microsoft's Responsible AI Principles.

His most recent book on AI is "Reimagining Businesses with AI." The rise of AI and digital technologies is enabling many capabilities, disrupting several business models and changing the way we live and work. At the same time, this technological shift is also giving rise to many concerns around ethics, privacy, security and the future of humanity. The notion of ethics has evolved. Decisions around right and wrong always depended on human cognition and were guided by popular sentiments and socially acceptable norms.